Talent Insights Data

Talent Insights Data
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At Nomad Data we help you find the right dataset to address these types of needs and more. Sign up today and describe your business use case and you'll be connected with data vendors from our nearly 3000 partners who can address your exact need.


Understanding the dynamics of talent within industries has always been a complex challenge. Historically, insights into talent pools, employee turnover, and workforce skills were limited to anecdotal evidence or broad, industry-wide studies that lacked the granularity businesses needed to make informed decisions. Before the digital age, companies relied on manual surveys, word-of-mouth, and traditional hiring metrics to gauge the talent landscape. These methods were time-consuming, often inaccurate, and provided data that was quickly outdated.

The advent of sensors, the internet, and connected devices, alongside the proliferation of software and database technologies, has revolutionized how we gather and analyze data on talent. This digital transformation has enabled the collection of real-time data on a wide array of metrics, including employee headcount, company locations, job titles, and more. This shift has not only made data more accessible but has also allowed for a more nuanced understanding of talent dynamics across industries worldwide.

The importance of data in understanding talent cannot be overstated. Previously, businesses were in the dark, making decisions based on outdated or anecdotal information. Now, with access to real-time data, companies can understand changes in the talent landscape as they happen, allowing for more strategic decision-making and competitive advantage.

However, navigating the vast amounts of data available can be daunting. This article aims to shed light on specific categories of datasets that can provide better insights into talent, including business data, human capital data, and contact data. By understanding how to leverage these datasets, business professionals can gain a deeper understanding of the talent landscape, enabling better strategic decisions.

Business Data

Business data has been instrumental in providing insights into company dynamics that directly impact talent, such as employee headcount and company locations. Historically, this type of data was gathered through manual surveys and public records, a process that was both time-consuming and prone to inaccuracies. However, technological advances have significantly improved the collection and analysis of business data, making it a critical tool for understanding talent.

Today, business data providers offer comprehensive datasets that include detailed information on U.S. companies. This data can be used to analyze trends in employee headcount, track company growth, and understand the distribution of companies across different locations. Such insights are invaluable for businesses looking to expand, relocate, or understand their competitive landscape.

**Examples of Business Data Usage:**

  • Tracking company growth: Analyzing employee headcount over time to identify growth trends.
  • Location analysis: Understanding the geographical distribution of companies to inform expansion strategies.

Human Capital Data

Human capital data providers collect and process a wide range of employment-related information, offering a granular view of the workforce. This type of data encompasses everything from job titles and roles to levels of experience, providing a comprehensive picture of the talent landscape. The evolution of data collection and processing technologies has enabled the aggregation of this data at scale, offering unprecedented insights into workforce dynamics.

**How Human Capital Data Can Be Used:**

  • Identifying talent pools: Analyzing data on job titles and experience levels to locate pools of potential candidates.
  • Workforce planning: Leveraging data on roles and experience to inform strategic workforce development and planning.

Contact Data

Contact data providers offer access to global direct contacts, including detailed information such as annual employee headcount, company location, person title, full name, and country. This data is particularly valuable for businesses looking to connect with potential candidates or industry professionals directly. The ability to access this information on a global scale has opened up new avenues for talent acquisition and networking.

**Utilizing Contact Data:**

  • Direct outreach: Engaging with potential candidates or industry professionals based on specific criteria such as job title or location.
  • Networking: Building a global network of contacts for talent acquisition and industry collaboration.


The importance of data in understanding and leveraging talent cannot be overstated. As businesses become more data-driven, the ability to access and analyze specific categories of data will be critical to gaining a competitive edge. The datasets discussed in this article offer a starting point for businesses looking to deepen their understanding of the talent landscape.

Looking forward, the potential for new types of data to provide additional insights into talent is vast. As companies continue to digitize and data collection technologies advance, we can expect to see an even greater variety of data becoming available. This evolution will undoubtedly offer new opportunities for businesses to understand and engage with talent in innovative ways.


Industries and roles that could benefit from access to talent data include investors, consultants, insurance companies, market researchers, and more. These stakeholders face unique challenges that can be addressed through targeted data analysis, transforming how they approach talent acquisition, workforce planning, and competitive analysis.

The future of talent data is promising, with advancements in AI and machine learning poised to unlock the value hidden in decades-old documents and modern government filings. As we move forward, the ability to harness these technologies to analyze talent data will be a game-changer for businesses across industries.

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